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==== Introduction to R Studio ====

  * **Name:** William Norfolk
  * **Position and Institution:** PhD Candidate, University of Georgia
  * **Contact:** Email: william.norfolk[at]uga.edu, Github: https://github.com/williamnorfolk
  * **Year contributed:** 2021

==== Categories ====

  * **Grade Level:** 9-12

==== Abstract ====

Analysis of biological data is an essential component of scientific research. As technology advances the ability to collect larger and more complex datasets has increased ten-fold. The increase in complex datasets has increased the need for adaptive analysis tools to process data and produce quality visualizations. R statistical analysis software is a multi-function platform that has become increasingly popular in the field of biological sciences. R software employs the usage of a coding interface to perform a range of analytical functions. This functionality allows for documentation and reproducibility of the analytical methods used to produce research findings. While R coding may seem daunting at first glance, most researchers make use of the R platform Rstudio which is a set of integrated tools designed to make R more user friendly and easy to manage. Through this lesson, we will explore the basic functionality and usage of Rstudio as an analysis tool. 

==== Keywords ====

  * data science
  * data analysis
  * R and Rstudio

==== Files ====
{{ :georgia:intro_rstudio_scirenlesson_norfolk.docx |Lesson Plan}}

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